About
88
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837
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Introduction
Additional affiliations
January 1994 - present
Pennsylvania State University
Position
- Professor (Associate)
January 1994 - present
Pennsylvaina State University
Position
- Professor (Associate)
Publications
Publications (88)
In this paper, a chaotic communication method based on the Cubature Kalman Filter (CKF) is presented. Using CKF, state estimation of a chaotic dynamical system and synchronization, in the presence of processing noise and measurement noise, are presented. The proposed method is then applied to a private secure communication setup, and an image encry...
Many institutions are offering online courses, as part of their regular schedule, to provide more flexible course offerings to students with the hope of some cost savings in the end. In this paper, we will focus on examining some of the students' ratings and comments that have been reported in student rating of teaching effectiveness (SRTE) surveys...
The usefulness of online and hybrid delivery methods in education has long been realized and with the advancement of computer and communication technologies and the Web based authoring tools, their effectiveness have been further extended. We are at a point that online and hybrid course offerings for undergraduates are quickly becoming an integrate...
This paper presents a novel chaotic communication method using an Unscented Kalman Filter (UKF). Applying UKF, the method
proposes the estimation of the state variables of the chaotic dynamical system and synchronization. The proposed method is then
applied to new private secure communication. The chaotic synchronization is implemented by the UKF i...
This paper describes our initial effort to develop a first year seminar for electrical engineering students at Ferdowsi University of Mashhad, Iran. This course was recently added to the curriculum and taught, for the first time, during the spring 2014 semester. The main goal is to motivate electrical engineering freshmen students by exposing them...
This paper investigates the problem of synchronizing the chaotic attitude dynamics of multiple spacecraft is investigated based on the distributed predictive control approach. Kinematic and dynamic equations are used to describe the spacecraft system according to the Modified Rodriguez Parameters representation. The respective method follows the se...
This paper describes our initial effort to implement a flipped classroom approach to teach an Electric Circuits course. Prior to each scheduled class meeting, students are required to watch a recorded short lecture, which covers the topics in details and includes simple worked out problems. We have used Tablet PC in combination with PowerPoint, One...
The usefulness of hybrid delivery in education has long been realized, and with the advancement of computer and communication technologies and the introduction of Web-based authoring tools, its effectiveness has been further extended. In this regard, it has affected traditional distance learning by transforming the learning experience from a static...
In this paper, phase synchronization and the frequency of two synchronized van der Pol oscillators with delay coupling are studied. The dynamics of such a system are obtained using the describing function method, and the necessary conditions for phase synchronization are also achieved. Finding the vicinity of the synchronization frequency is the ma...
This paper describes our continued work in creating a set of narrated dynamically worked-out problems and the team based in-class problem solving for the Electric Circuits students to improve their problem-solving skills by understanding the key concepts and the way that they should be utilized in solving circuits' problems. The dynamically worked...
In this paper a new method based on artificial neural networks (ANN), has been introduced for recognizing pathogenic antibodies in Systemic Lupus Erythmatosus (SLE). dsDNA binding antibodies have been implicated in the pathogenesis of this autoimmune disease. In order to identify these dsDNA binding antibodies, the protein sequences of 42 dsDNA bin...
The usefulness of hybrid delivery in education has long been realized. With the advancement of computer and communication technologies and the introduction of Web-based authoring tools, its effectiveness has been further extended. In this regard, it has affected traditional distance-learning by transforming it from a static videotape delivery to a...
In this work, we report our results based on an innovative approach that we started three years ago for delivering an introductory computer science course. The teaching approach consisted of team teaching, hybrid delivery, recorded lecture retrieval capability, readiness assessment activities, post assessment activities, objective assessment of stu...
In this paper we present chaotic synchronization of a Lorenz system using Unscented Kalman Filter (UKF). The UKF has shown to produce better results, than Extended Kalman Filter (EKF), without performing potentially ill-conditioned numerical calculations and linearly approximating the evolution of the state vector covariance. The chaotic synchroniz...
In this paper we numerically investigate the chaotic behaviours of the fractional-order Lorenz system and its synchronization. For the first time, a fractional chaotic synchronization using an Unscented Kalman Filter (UKF) is presented. The chaotic synchronization is implemented by the UKF design in the presence of process noise and measurement noi...
Extended Kalman Filter (EKF) has been widely used as an important tool in practical applications to estimate states of nonlinear systems. There are a number of deficiencies in EKF such as biased estimation, complexity in calculation and inefficacity in not being able to compute analytical derivatives affect its application in many fields. In this p...
In this work, we report our initial results based on an innovative approach that we started last year for delivering an introductory computer science course. The teaching approach consisted of a team teaching, a blended delivery system, recorded lecture retrieval capability, readiness assessment activities, objective assessment of student progress,...
This paper describes our continued work in creating a set of narrated dynamically worked-out problems for the Electric Circuits students using a Tablet PC. The examples are intended to improve problem-solving skills by enhancing understanding of the key concepts and the way that they should be utilized in solving circuits' problems. A detailed expl...
In this paper, we present an adaptive input-output feedback linearization controller, using the single cell FitzHugh-Nagumo (FHN) model, to track a normal action potential. The problem is to design a feedback control law which stabilizes an unstable rhythm of the FHN model and track a normal action potential only using output feedback. Here we use...
In this paper a new method based on artificial neural networks (ANN), is introduced for identifying pathogenic antibodies in Systemic Lupus
Erythmatosus (SLE). dsDNA binding antibodies have been implicated in the pathogenesis of this autoimmune disease. In order to identify these dsDNA
binding antibodies, the protein sequences of 42 dsDNA binding a...
In this work, we propose a new method for prediction of Paroxysmal Atrial Fibrillation (PAF) by only using the PR interval of ECG signal. We first obtain a nonlinear structure and parameters of PR interval by a Genetic Programming (GP) based algorithm. Next, we use the neural networks for prediction of PAF. The inputs of the neural networks are the...
This paper describes our goal of creating a set of narrated dynamically worked-out problems for the electric circuits students using a Tablet PC. The examples are intended to improve problem-solving skills by enhancing understanding of the key concepts and the way that they should be utilized in solving circuits' problems. Improvement in understand...
In this work, we present a new teaching approach that we have implemented in our introductory computer science programming course. The methodology consists of team teaching, a hybrid delivery system, recorded lecture retrieval capability, readiness assessment activities, objective assessment of student progress, and cooperative learning through tea...
In this paper, a new fuzzy fading memory (FFM) is developed in order to aid a modified input estimation (MIE) technique and enhance its performance in tracking high maneuvering targets. The MIE has been introduced recently and performs well in tracking low and medium maneuvering targets. However, due to some modeling errors, the accuracy of this tr...
In this paper, we present a sliding mode controller for FitzHugh-Nagumo (FHN) model affected by uncertainties, disturbances and immeasurable states. The sliding mode controller has been utilized with the aim of external signal tracking for the single cell FHN model. Both methods of Proportional Derivative Sliding Mode Control (PDSMC) and Proportion...
In this study, a new method will be introduced to find ionic conductance parameters of ventricular cell channels that are part of a reentry loop. These parameters play a significant role in generation and dispersion of a normal action potential and hence ECG signal and formation of a reentry. The dangerous phenomenon reentry, occur when an electric...
In this paper, the synchronization of a pair of pacemaker cells as Sino-Atrial (SA) and Atrio-Ventricullar (AV) nodes have been studied and a new approach for synchronization, based on the concept of Phase Response Curve (PRC), has been proposed. The paper starts with presenting the necessary and sufficient conditions for synchronization in terms o...
In this work, we will discuss priorities in engineering education in year 1404 (2025 A.D.) based on some of the attributes of an engineer in 2020 as discussed in "The Engineer of 2020," and new priorities such as environment, society, and energy by extrapolating the current socio-economic conditions. Moreover, the manner that engineering education...
The usefulness of hybrid delivery in education has long been realized and with the advancement of computer and communication technologies and the introduction of Web based authoring tools, its effectiveness has been further extended. In this regard, it has affected the traditional distance learning by transforming it from a static videotape deliver...
In this study a synchronization method is developed to prevent the blocking arrhythmias which are caused by lack of synchronization between the two major heart pacemakers called the Sino-Atrial (SA) node and Atrio-Ventricullar (AV) node. Such pacemakers can be modeled by the Van der Pol oscillators. Feedback linearization method is used in synchron...
The introductory computer programming course for engineers is usually taught using the C++ programming language. This work describes our efforts during the past four years, as a pilot project, which can be used in an evaluation process by those departments that would like to substitute Matlab for C++. Those who would like to continue the current pr...
The usefulness of hybrid delivery in education has long been realized and with the advancement of computer and communication technologies and the introduction of Web based authoring tools its effectiveness has been further extended. In this work we focus of hybrid e-learning. We refer to hybrid e-learning as those works that utilize courseware modu...
This work describes our effort to establish a flexible course delivery system at the Delaware County Campus of the Pennsylvania State University. Although the idea for this project originated from finding a cost effective model/solution to the problem of under-enrolled courses across University College campuses, other benefits were realized and oth...
Although we usually would like to work with exact systems, most of the real world systems are nonlinear with uncertain parameters. In this paper, we propose AVK (A.V. Kamyad) approach to solve nonlinear problems with uncertain parameters (NPUP). This approach substitutes the original nonlinear system with an equivalent nonlinear programming (NLP) p...
In this paper a novel approach for cardiac arrhythmias detection is proposed. The proposed method is based on using independent component analysis (ICA) and wavelet transform to extract important features. Using the extracted features different machine learning classification schemas, MLP and RBF neural networks and K-nearest neighbor, are used to...
This paper presents a new approach for teaching engineering design methodology that consists of covering different steps of the design process in four semesters focusing on a specific problem. During the first semester students are introduced to the overall design methodology and are asked to identify the needs, tasks and outputs, based on a given...
A new chaotic communication scheme using sliding-mode adaptive observer is presented. Using synchronization in conjunction with digital communication schemes, we have enhanced the security of the transmitted signal and achieved a satisfactory, typical, secure communication scheme. The proposed system requires only one observer, which is an advantag...
This work describes our effort at the Delaware County Campus of Penn State to enhance the freshman engineering design and graphics and sophomore engineering computer programming courses by incorporating problem-based collaborative robotics projects in and between these courses. The robotics project in the engineering design and graphics course, ED&...
This work is on performance comparison of five different nonlinear observers in two chaotic synchronization case studies and their application to secure communications. Extended Kalman filter, state dependent Riccati equation, Thau's observer, high-gain observer, and covariance upper bound assignment techniques are used in state reconstruction of t...
FACTS devices have recently received great attention in the damping of power systems. In this paper, the simultaneous application of TCSC and SVC is proposed to improve power system dynamics. In order to obtain a better performance, different control methodologies can be used to control the FACTS devices. In this paper, an adaptive fuzzy sliding mo...
An observer design approach is introduced for a class of continuous-time nonlinear systems driven by finite energy disturbances. A Lyapunov-like technique is used in guaranteeing the uniform boundedness of the estimation error provided that a linear differential inequality holds. The new observer is applied to estimating the state of a nonlinear sy...
Full- and reduced-order adaptive observers are presented for state
reconstruction of nonlinear systems with uncertainty having unknown
bounds. The observers use nonlinear gains that are smoothened versions
of classical sliding-mode gains and they are continuously updated to
guarantee a globally stable observation error. These observers are
applied...
Extensions of sliding-mode adaptive observer are presented for state reconstruction of nonlinear systems with uncertainty having unknown bounds. The observer uses nonlinear gains that are smoothened versions of classical sliding-mode gains and they are continuously updated to guarantee a globally stable observation error. This observer is applied t...
In this paper we investigate the relative performance and design
procedures of several nonlinear stochastic estimators. The filters that
we are comparing are: Lyapunov-based, covariance assignment, extended
Kalman filter, and state-dependent Riccati equation estimator. First we
provide an overview of these estimators and then we will compare their...
The benefits of using computer aided design packages such as
MATLAB, MATRIX<sub>x</sub>, Control C, SIMNON, etc. have been long
realized and reported. We discuss the use of graphical user interface
(GUI) capabilities of MATLAB. GUIs offer a visual approach to solving
specific problems. They can also add a “what-if” feature to
a problem by providing...
An actuator fault detection and isolation scheme for a class of
continuous-time nonlinear systems is presented. A bank of unknown-input
observers is used for this purpose. Only linear matrix equations and
inequalities are used in the design which makes it particularly
attractive from a computational viewpoint
Stabilization of a nonlinear system by the use of state estimate
feedback when the state variables are not available for measurement, has
been an important research topic in control theory. In the paper, a
reduced-order observer design is presented for a class of discrete time
nonlinear systems. This is motivated by its potential use in dynamic
fee...
Using multimedia tools in teaching and enhancing students' learning is of interest to many educators and researchers. Moreover, production of multimedia-based educational software has become a popular trend. Many of these products are basically a combination of text, animation, sounds and video scenes. This paper discusses some of the expected feat...
Control system design packages like MATLAB, MATRIX<sub>x</sub>,
Control C, SIMNON, etc. have become essential ingredients of both
undergraduate and graduate courses in the systems and controls area.
This work describes our experience, at the Great Valley Campus of the
Pennsylvania State University and the University of Arkansas, with the
use of one...
Control system design packages like MATLAB, MATRIXX, Control C, SIMNON, etc. have become essential ingredients of both undergraduate and graduate courses in the systems and controls area. The use of MATLAB and its companion toolboxes in teaching graduate and undergraduate courses have been reported by many educators in the past. This work describes...
The use of MATLAB and its companion toolboxes in teaching graduate
and undergraduate control systems and signal analysis courses have been
long realized and reported by many educators. More recently, some have
started using this package in undergraduate electrical engineering
circuits courses. These works concentrate on the numerical capabilities
o...
The paper presents the use of multimedia tools in teaching engineering courses. In particular we discuss the use of “courseware” in conducting classroom teaching for the first electrical engineering circuits course. Some of the questions and/or concerns that have been raised regarding the use of a courseware package and advantages and disadvantages...
First an exponentially convergent reduced-order observer for state reconstruction of uncertain nonlinear systems is introduced. Then, the state estimates obtained are used in a dynamical compensation scheme for exponential stabilization of the controlled system. Necessary linear observer and controller gains are calculated using linear matrix inequ...
In this paper, we consider a class of continuous-time stochastic system and measurement models and propose an estimator that guarantees an estimation error that exhibits boundedness property for all of its moments and its sample path values. The estimates obtained from this estimator are used to render the closed loop system state bounded in the sa...
Extensions of a robust adaptive observer are presented for state
reconstruction of nonlinear systems with uncertainty having unknown
bounds. The observers use nonlinear gains which are continuously updated
to guarantee a globally asymptotically convergent observation error. A
generalization to known waveform type disturbances and measurement
uncert...
Control system design packages like MATLAB, MATRIX<sub>X</sub>, Control C, SIMNON, etc. have become essential ingredients of both undergraduate and graduate courses in the systems and controls area. This work describes our experience, at the University of Arkansas and Pennsylvania State University, with the use of one of these packages, namely MATL...
The estimation problem of unknown and time-varying power system
harmonic signal amplitudes is addressed using a modified form of a
signal model which has previously appeared in the literature. Using
state-variable techniques, this signal model not only accounts for the
unknown variations in signal amplitude but also for the uncertainty or
measureme...
We present mean square exponentially convergent state observers for nonlinear stochastic systems driven by Wiener noise. The method is based on extension of variable structure observer schemes using exponential nonlinear gain. The adaptive version of the results are provided to be used when the matching uncertainty has unknown bounds. It is also sh...
The usual approach in teaching introductory computer-programming courses is to have a classroom lecture component and a supervised laboratory module, where students will write simple programs reflective of the material that they have learned during the lecture. Although this method may work very well for some subjects, it may not be the best way to...
Popular educational software packages such as PSpice and MATLAB
are rapidly becoming an essential part of many undergraduate and
graduate electrical engineering courses. This paper presents experience
at the Delaware County Campus of the Pennsylvania State University and
the University of Arkansas at Fayetteville, with the incorporation of
these pa...
An observer design methodology which is applicable to a general
class of nonlinear stochastic system and measurement models is
considered. It is shown that, under the conditions given in the paper, a
systematic numerical approach to discrete-time nonlinear state
estimation is possible with guaranteed exponential rate of convergence
A novel robust/adaptive observer is presented for state reconstruction of nonlinear systems with uncertainty having unknown bounds. The observer uses a nonlinear gain which is continuously adapted to guarantee a uniformly bounded and convergent observation error. Some generalizations to known waveform type disturbances and measurement uncertainties...
An observer design methodology that is applicable to a general class of non-linear stochastic system and measurement models is given. It is proved that, under the conditions given, discrete- and continuous-time state estimation is possible with guaranteed exponential rate of convergence. The superior performance of the observer is illustrated with...
This work extends the applicability of variable structure observers designed for nonlinear systems in two ways. First, it is proved that these observers using a boundary-layer scheme can be applied to system models described by Ito differential equations, resulting in almost sure and mean square exponential estimation error. Second, the use of vari...
A dynamic feedback control scheme is proposed to reduce the effect of process and measurement disturbances of known wave-form for a class of discrete non-linear stochastic systems. A Lyapunovbased non-linear filter developed previously by the authors is utilized for the estimation of the disturbance state and combined with a least-squares-type cont...
This paper first introduces an exponentially convergent reduced-order observer for state reconstruction of uncertain nonlinear systems. Then, the state estimates obtained arc used in a dynamical compensation scheme for exponential stabilization of the controlled system. The nonlinear gains utilized in the observer and controller are similar to thos...
We present a design methodology for state estimation of nonlinear stochastic systems and measurement models with coloured noise processes. The method is based on the extension of variable structure observer schemes. The deterministic versions of these results are also included, a new approach for obtaining the required parameters in the observer de...
We present a design methodology for state estimation of nonlinear stochastic systems and measurements models with colored noise processes. The method is based on extension of deterministic variable structure observer schemes. The proposed estimator is used in the design of a dynamic feedback controller to minimize the effect of colored noises. The...
Pole placement features of continuous-time covariance controllers
are considered. First, a qualitative property of pole placement as a
function of the chosen design covariance is provided. Then, two design
techniques for assignment of closed-loop poles to specific regions in
the complex plane are described. The necessary and sufficient conditions
f...
Four extensions of the state and estimation error covariance assignment algorithms are presented in this work.
In this work, we will investigate the effects of using linear and a certain nonlinear state feedback controllers on the stability/boundedness and transient response improvement of bilinear discrete-time systems with multiplicative and additive white noise.
This work extends the applicability of variable structure observers designed for nonlinear systems in two ways. First, it is proved that these observers using a boundary layer scheme can be applied to system models described by Ito differential equations resulting in almost sure and mean square exponential estimation error. Second, the use of varia...
An observer design methodology which is applicable to more general
nonlinear stochastic system models is given. The method relies not on
the optimization theory but on Lyapunov-type stochastic stability
results which can guarantee a mean square exponential rate of
convergence for the estimation error. It is proved that discrete- and
continuous-time...
In this paper, an index for evaluating Distance of a healthy heart from Sino-Atrial Blocking Arrhythmia (SABA) is presented. After definition of the main pacemakers' model of heart, Sino-Atrial (SA) and Atrio-Ventricular nodes (AV), the boundary of syn-chronization, which demonstrates the boundary of blocking arrhythmia, is obtained using perturbat...
Control system design packages like MATLAB, MATRIXX, Control C, SIMNON, etc. have become essential ingredients of both undergraduate and graduate courses in the systems and controls area. This work describes our experience, at the Great Valley Campus of the Pennsylvania State University, with the use of one of these packages, namely MATLAB with its...